# baby_cry_rpi

**Repository Path**: rsmeng/baby_cry_rpi

## Basic Information

- **Project Name**: baby_cry_rpi
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-03-31
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Baby cry detection - Deployment on Raspberry Pi

Recognition of baby cry from audio signal.

The aim is to automatically recognize a baby crying while sleeping. In such case, a lullaby is started to calm the baby
down.

This is done by implementing a machine learning algorithm on a Raspberry Pi.

### Hardware setup

+ Raspberry Pi 2B
+ Usb microphone
+ Speakers connected via Jack 3.5 mm

### Software setup

This repo should be cloned on the Rapsberry Pi in `/opt/`.

To make it work:

+ Install [docker](https://docs.docker.com/engine/installation/linux/debian/) on your Raspberry Pi
+ Get the Docker image `docker pull mikkl/rpi2-babycry:squashed`
+ Put `model.pkl` generated by [baby_cry_detection](https://github.com/giulbia/baby_cry_detection) in folder
 `model`
+ Put the _egg_ file `baby_cry_detection-1.1-py2.7.egg`
generated by [baby_cry_detection](https://github.com/giulbia/baby_cry_detection) in folder `lib`
+ Execute `script/run.sh` from `/opt/baby_cry_rpi`